Papers
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
Chengxin Wang, Shaofeng Cai, Gary Tan
Group Softmax Loss With Discriminative Feature Grouping
Takumi Kobayashi
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection
Heng Zhang, Elisa Fromont, Sebastien Lefevre et al.
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
Peri Akiva, Matthew Purri, Kristin Dana et al.
Hand Pose Guided 3D Pooling for Word-Level Sign Language Recognition
Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak et al.
Handwritten Chinese Font Generation With Collaborative Stroke Refinement
Chuan Wen, Yujie Pan, Jie Chang et al.
Have Fun Storming the Castle(s)!
Connor Anderson, Adam Teuscher, Elizabeth Anderson et al.
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients
Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed et al.
Hierarchical Generative Adversarial Networks for Single Image Super-Resolution
Weimin Chen, Yuqing Ma, Xianglong Liu et al.
High-Quality Frame Interpolation via Tridirectional Inference
Jinsoo Choi, Jaesik Park, In So Kweon
Holistic Filter Pruning for Efficient Deep Neural Networks
Lukas Enderich, Fabian Timm, Wolfram Burgard
How to Make a BLT Sandwich? Learning VQA Towards Understanding Web Instructional Videos
Shaojie Wang, Wentian Zhao, Ziyi Kou et al.
HyperCon: Image-to-Video Model Transfer for Video-to-Video Translation Tasks
Ryan Szeto, Mostafa El-Khamy, Jungwon Lee et al.
Hyperrealistic Image Inpainting With Hypergraphs
Gourav Wadhwa, Abhinav Dhall, Subrahmanyam Murala et al.
Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction
Le Minh Ngo, Wei Wang, Burak Mandira et al.
IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters for Tracking
Monika Jain, A. V. Subramanyam, Simon Denman et al.
Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function
Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter et al.
Improve CAM With Auto-Adapted Segmentation and Co-Supervised Augmentation
Ziyi Kou, Guofeng Cui, Shaojie Wang et al.
Improved Techniques for Training Single-Image GANs
Tobias Hinz, Matthew Fisher, Oliver Wang et al.
Improved Training of Generative Adversarial Networks Using Decision Forests
Yan Zuo, Gil Avraham, Tom Drummond
Improving Few-Shot Learning Using Composite Rotation Based Auxiliary Task
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection
Ozan Unal, Luc Van Gool, Dengxin Dai
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations
Srinivas Anumasa, P. K. Srijith
Improving Video Captioning With Temporal Composition of a Visual-Syntactic Embedding
Jesus Perez-Martin, Benjamin Bustos, Jorge Perez
IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation
Yandan Yang, Lu Sheng, Xiaolong Jiang et al.